14 of 14 Part-Time Data Warehouse Jobs in Central London

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. … This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. The Data Analyst will become an integral part of the front office … the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. The migration of legacy data warehouse to strategic data platform. Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely More ❯

As a Data Architect, you will play a critical role in shaping enterprise-wide data solutions and ensuring effective data management across the entire lifecycle from capture to consumption. You will collaborate with IT teams, project managers, and business stakeholders to define solution architectures aligned with the enterprise data strategy. You … will help define and promote architectural standards that support scalable, secure, and integrated data platforms across the organisation. Key Responsibilities Define solution architectures for data warehouse, master/reference data management, and integration. Contribute to the development of a Reference Data Architecture and related artefacts. Support the standardisation of enterprise data management processes and documentation. Collaborate with business and IT stakeholders to maximise data value across systems and domains. Define and help implement data asset inventory and classification processes. Contribute to the assessment and documentation of the existing enterprise data landscape. Provide architectural guidance on Master Data Management (MDM), metadata, and More ❯

Join Police Digital Service as Data Architect FT/PT - starting salary £70,000pa About Police Digital Service The Data Architect is a member of Data and Analytics Services accountable to the Head of Data and Analytics Delivery and responsible for the designs and build of data models and systems … aligned to the Data and Analytics strategy and operational objectives. Our Values are: We value People We do the right thing We are innovative We are one Team We are proud and passionate Working Arrangements We are a remote-first organisation, with occasional national travel for key meetings. We know that flexibility matters - whether that's part-time … The Data Architect implements the design, build and best practice for the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture, working seamlessly with internal PDS and external partners to enable and fulfill multiple stakeholder requirements. Key Responsibilities Implement and manage the organisation's data architecture frameworks More ❯

Senior Data Engineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform … across every area of the business from supply chain and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a Senior Data Engineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role … build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and related tools. Expand the existing data lake and warehouse to include new domains such as supply chain, marketing, finance, and customer data. Develop and optimise ETL/ELT processes to integrate data from diverse global sources More ❯

The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics … platform supporting Front Office Trading across commoditiesby building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI … capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development More ❯

Data Engineer 45,00070,000 London (3 days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and … delivers great experiences for its users. Youll work alongside experienced engineers and data scientists to shape and evolve the platform that underpins all data-driven decisions including the development of real-time streaming capabilities using tools like Kafka. This is a great opportunity for someone with early career experience in data engineering whos ready … to deepen their technical expertise and make a tangible impact in a creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows More ❯

BI Developer - Insurance Data & Power BI London/Hybrid - 70,000 A fast-growing specialty insurance group is expanding its technology and data function following several high-profile acquisitions. Its London-based data team is now building a unified reporting platform that will underpin decision-making across multiple underwriting businesses. As a BI Developer … you'll sit at the centre of this transformation, turning complex insurance and operational data into clear, trusted insight. You'll design data models, build Power BI dashboards, and shape the data standards that drive better commercial and underwriting outcomes. What you'll be doing Develop and optimise SQL scripts, stored procedures and data … Power BI dashboards and reports Collaborate with Product and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI development using SQL and Power BI Strong understanding of DAX, data warehousing and More ❯

About the Role Join the team as a Data Engineering Tech Lead , driving the design and delivery of scalable, cloud-based data platforms on Azure or AWS . Youll lead by example architecting modern ELT pipelines, optimizing data models, and guiding a high-performing engineering team. Key Responsibilities Lead the architecture and development of … end-to-end data pipelines and platforms. Build and optimize ELT processes , data integration , and data modeling frameworks. Establish best practices for data quality, automation, and governance. Mentor engineers, perform code reviews , and drive continuous improvement. Collaborate with stakeholders to align solutions with business goals. Implement DevOps/CI-CD pipelines using … GitHub Actions and Azure DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with More ❯

Job Title: Senior Data Engineer Base Location: London OR Glasgow based (Hybrid 2 days per week in office) The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team will … upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join the KPMG Tax & Legal Technology Engineering team as Senior Data Engineer We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. Theres the buzz of scrum … high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression. What will you be doing? We are seeking a Senior Data Engineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and More ❯

I am working with a forward-thinking organisation who are undertaking a major digital transformation with data at the heart of its strategy. With a strong focus on cloud technologies, data governance, and scalable architecture they are building intelligent platforms that drive real business impact. As part of their continued investment in data and … technology, they are looking to appoint a Senior Data Architect to lead the design and evolution of their enterprise data ecosystem. This is a strategic, high-impact role where you will work closely with engineering, product and compliance teams to shape the future of data architecture across the organisation. In this role, you will … be responsible for: Designing and implementing scalable, secure, and compliant data solutions across cloud environments. Developing data models and ensuring alignment with architectural standards. Leading the technical direction of the data platform landscape Collaborating with cross-functional teams to deliver robust, high-quality data solutions. Ensuring data governance, integrity and More ❯

I am working with a global data and AI consultancy that is expanding its Data Management practice and looking to bring on a Data Solutions Architect with deep expertise in Google Cloud Platform (GCP). This is a strategic, client-facing role where you will partner with senior stakeholders to modernise data platforms, accelerate cloud transformation, and drive measurable business outcomes. Youll join a collaborative environment focused on delivering enterprise-scale data solutions across banking and financial services. With increasing demand for cloud-native architectures and data-driven innovation, this is a fantastic opportunity to lead high-impact engagements and shape future-state data strategies. As part of this role, you will be responsible for: Leading technical solution design and delivery for large-scale data platform projects using GCP and BigQuery Supporting pre-sales engagements by translating client requirements into technical solutions Take ownership of cloud migration and data platform modernization strategies Undertake data modelling tasks More ❯

and suppliers. The TA will contribute to delivery of a coherent plan on how PDS will facilitate and enable the realisation of the outcomes described within the Digital Data and Technology Strategy, with Forces and existing and emerging suppliers and partners, including: Monitoring emerging tech trends and offerings capable of making a measurable and lasting impact in policing … limited to: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, SaaS, UX and Web Development, APIs, Open Data, Automation, Insight and Analytics, Data Warehouse, Internet of Things, Mobile Apps, Machine Learning, DevOps, Data and Network Security. Please see the candidate pack for full details of the role. Diversity, equity and inclusion More ❯

document, and translate business requirements into technical specifications. Liaise between business users, developers, and external implementation partners. Manage BAU support for the existing ERP (Microsoft Navision). Prepare data, documentation, and designs for the new ERP (likely NetSuite or another non-Microsoft platform). Create and maintain process documentation and user stories. Required Skills & Experience Strong experience as … middleware (AWS or similar). Comfortable working in hybrid project/BAU environments. Nice to Have Exposure to ERP implementation or migration projects. Familiarity with Google Data Warehouse or cloud data platforms. Understanding of retail supply chain and finance processes. More ❯

track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable ETL Pipeline Design … and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build … and maintain data solutions. Implement best practices for security and compliance in an AWS environment. Python Programming: Demonstrate proficiency in Python programming for data processing and manipulation. Develop custom scripts and applications as needed to enhance ETL processes. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to More ❯